import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__a    :	str         =    logging.get_logger(__name__)


__a    :	List[str]         =    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
__a    :	Union[str, Any]         =    {
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
}

__a    :	int         =    {
    """facebook/bart-base""": 1_0_2_4,
    """facebook/bart-large""": 1_0_2_4,
    """facebook/bart-large-mnli""": 1_0_2_4,
    """facebook/bart-large-cnn""": 1_0_2_4,
    """facebook/bart-large-xsum""": 1_0_2_4,
    """yjernite/bart_eli5""": 1_0_2_4,
}





@lru_cache()
def 							UpperCAmelCase		(       ):







				"""simple docstring"""



				__lowercase					     =				(
				    list(range(ord('''!'''				)				,     ord('''~'''				) + 1				)				) + list(range(ord('''¡'''				)				,     ord('''¬'''				) + 1				)				) + list(range(ord('''®'''				)				,     ord('''ÿ'''				) + 1				)				)
				)
				__lowercase					     =				bs[:]
				__lowercase					     =				0
				for b in range(2**8				):
								if b not in bs:
												bs.append(lowercase				)
												cs.append(2**8 + n				)
												n += 1
				__lowercase					     =				[chr(lowercase				) for n in cs]
				return dict(zip(lowercase				,     lowercase				)				)





def 							UpperCAmelCase		(       lowercase				):







				"""simple docstring"""



				__lowercase					     =				set()
				__lowercase					     =				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)				)
								__lowercase					     =				char
				return pairs




class   _UpperCamelCase (		_UpperCAmelCase					):


			"""simple docstring"""






			__a    :					List[Any]     					=		VOCAB_FILES_NAMES
			__a    :					Any     					=		PRETRAINED_VOCAB_FILES_MAP
			__a    :					Optional[Any]     					=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a    :					List[str]     					=		['''input_ids''', '''attention_mask''']





			def __init__(  self ,  lowerCAmelCase__ ,  lowerCAmelCase__ ,  lowerCAmelCase__="replace" ,  lowerCAmelCase__="<s>" ,  lowerCAmelCase__="</s>" ,  lowerCAmelCase__="</s>" ,  lowerCAmelCase__="<s>" ,  lowerCAmelCase__="<unk>" ,  lowerCAmelCase__="<pad>" ,  lowerCAmelCase__="<mask>" ,  lowerCAmelCase__=False ,  **lowerCAmelCase__ ,  )	->   Optional[Any]:

							'''simple docstring'''


							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else bos_token
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else eos_token
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else sep_token
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else cls_token
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else unk_token
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							__lowercase					     =				AddedToken(lowerCAmelCase__ ,  lstrip=lowerCAmelCase__ ,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__ ,  lowerCAmelCase__		) else mask_token

							super().__init__(
							    errors=lowerCAmelCase__ ,  bos_token=lowerCAmelCase__ ,  eos_token=lowerCAmelCase__ ,  unk_token=lowerCAmelCase__ ,  sep_token=lowerCAmelCase__ ,  cls_token=lowerCAmelCase__ ,  pad_token=lowerCAmelCase__ ,  mask_token=lowerCAmelCase__ ,  add_prefix_space=lowerCAmelCase__ ,  **lowerCAmelCase__ ,  )

							with open(lowerCAmelCase__ ,  encoding='''utf-8'''		) as vocab_handle:
											__lowercase					     =				json.load(lowerCAmelCase__		)
							__lowercase					     =				{v: k for k, v in self.encoder.items()}
							__lowercase					     =				errors  # how to handle errors in decoding
							__lowercase					     =				bytes_to_unicode()
							__lowercase					     =				{v: k for k, v in self.byte_encoder.items()}
							with open(lowerCAmelCase__ ,  encoding='''utf-8'''		) as merges_handle:
											__lowercase					     =				merges_handle.read().split('''\n'''		)[1:-1]
							__lowercase					     =				[tuple(merge.split()		) for merge in bpe_merges]
							__lowercase					     =				dict(zip(lowerCAmelCase__ ,  range(len(lowerCAmelCase__		)		)		)		)
							__lowercase					     =				{}
							__lowercase					     =				add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							__lowercase					     =				re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''		)





			@property
			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Union[str, Any]:

							'''simple docstring'''


							return len(self.encoder		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Tuple:

							'''simple docstring'''


							return dict(self.encoder ,  **self.added_tokens_encoder		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   List[str]:

							'''simple docstring'''


							if token in self.cache:
											return self.cache[token]
							__lowercase					     =				tuple(lowerCAmelCase__		)
							__lowercase					     =				get_pairs(lowerCAmelCase__		)

							if not pairs:
											return token

							while True:
											__lowercase					     =				min(lowerCAmelCase__ ,  key=lambda lowerCAmelCase__		: self.bpe_ranks.get(lowerCAmelCase__ ,  float('''inf'''		)		)		)
											if bigram not in self.bpe_ranks:
															break
											__lowercase     ,	__lowercase					     =				bigram
											__lowercase					     =				[]
											__lowercase					     =				0
											while i < len(lowerCAmelCase__		):
															try:
																			__lowercase					     =				word.index(lowerCAmelCase__ ,  lowerCAmelCase__		)
															except ValueError:
																			new_word.extend(word[i:]		)
																			break
															else:
																			new_word.extend(word[i:j]		)
																			__lowercase					     =				j

															if word[i] == first and i < len(lowerCAmelCase__		) - 1 and word[i + 1] == second:
																			new_word.append(first + second		)
																			i += 2
															else:
																			new_word.append(word[i]		)
																			i += 1
											__lowercase					     =				tuple(lowerCAmelCase__		)
											__lowercase					     =				new_word
											if len(lowerCAmelCase__		) == 1:
															break
											else:
															__lowercase					     =				get_pairs(lowerCAmelCase__		)
							__lowercase					     =				''' '''.join(lowerCAmelCase__		)
							__lowercase					     =				word
							return word





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   List[Any]:

							'''simple docstring'''


							__lowercase					     =				[]
							for token in re.findall(self.pat ,  lowerCAmelCase__		):
											__lowercase					     =				''''''.join(
											    self.byte_encoder[b] for b in token.encode('''utf-8'''		)		)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
											bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCAmelCase__		).split(''' '''		)		)
							return bpe_tokens





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   Dict:

							'''simple docstring'''


							return self.encoder.get(lowerCAmelCase__ ,  self.encoder.get(self.unk_token		)		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   List[Any]:

							'''simple docstring'''


							return self.decoder.get(lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   Dict:

							'''simple docstring'''


							__lowercase					     =				''''''.join(lowerCAmelCase__		)
							__lowercase					     =				bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8''' ,  errors=self.errors		)
							return text





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__ = None		)	->   Tuple[str]:

							'''simple docstring'''


							if not os.path.isdir(lowerCAmelCase__		):
											logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
											return
							__lowercase					     =				os.path.join(
							    lowerCAmelCase__ ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
							__lowercase					     =				os.path.join(
							    lowerCAmelCase__ ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

							with open(lowerCAmelCase__ ,  '''w''' ,  encoding='''utf-8'''		) as f:
											f.write(json.dumps(self.encoder ,  indent=2 ,  sort_keys=lowerCAmelCase__ ,  ensure_ascii=lowerCAmelCase__		) + '''\n'''		)

							__lowercase					     =				0
							with open(lowerCAmelCase__ ,  '''w''' ,  encoding='''utf-8'''		) as writer:
											writer.write('''#version: 0.2\n'''		)
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,  key=lambda lowerCAmelCase__		: kv[1]		):
															if index != token_index:
																			logger.warning(
																			    F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
																			    ''' Please check that the tokenizer is not corrupted!'''		)
																			__lowercase					     =				token_index
															writer.write(''' '''.join(lowerCAmelCase__		) + '''\n'''		)
															index += 1

							return vocab_file, merge_file





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__ = None		)	->   List[int]:

							'''simple docstring'''


							if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							__lowercase					     =				[self.cls_token_id]
							__lowercase					     =				[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__ = None ,  lowerCAmelCase__ = False		)	->   List[int]:

							'''simple docstring'''


							if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowerCAmelCase__ ,  token_ids_a=lowerCAmelCase__ ,  already_has_special_tokens=lowerCAmelCase__		)

							if token_ids_a is None:
											return [1] + ([0] * len(lowerCAmelCase__		)) + [1]
							return [1] + ([0] * len(lowerCAmelCase__		)) + [1, 1] + ([0] * len(lowerCAmelCase__		)) + [1]





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__ = None		)	->   List[int]:

							'''simple docstring'''


							__lowercase					     =				[self.sep_token_id]
							__lowercase					     =				[self.cls_token_id]

							if token_ids_a is None:
											return len(cls + token_ids_a + sep		) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__=False ,  **lowerCAmelCase__		)	->   List[str]:

							'''simple docstring'''


							__lowercase					     =				kwargs.pop('''add_prefix_space''' ,  self.add_prefix_space		)
							if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase__		) > 0 and not text[0].isspace()):
											__lowercase					     =				''' ''' + text
							return (text, kwargs)
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__a    :	Tuple         =    {
    """configuration_luke""": ["""LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LukeConfig"""],
    """tokenization_luke""": ["""LukeTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a    :	Dict         =    [
		    """LUKE_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """LukeForEntityClassification""",
		    """LukeForEntityPairClassification""",
		    """LukeForEntitySpanClassification""",
		    """LukeForMultipleChoice""",
		    """LukeForQuestionAnswering""",
		    """LukeForSequenceClassification""",
		    """LukeForTokenClassification""",
		    """LukeForMaskedLM""",
		    """LukeModel""",
		    """LukePreTrainedModel""",
		]


if TYPE_CHECKING:
		from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
		from .tokenization_luke import LukeTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_luke import (
				    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LukeForEntityClassification,
				    LukeForEntityPairClassification,
				    LukeForEntitySpanClassification,
				    LukeForMaskedLM,
				    LukeForMultipleChoice,
				    LukeForQuestionAnswering,
				    LukeForSequenceClassification,
				    LukeForTokenClassification,
				    LukeModel,
				    LukePreTrainedModel,
				)

else:
		import sys

		__a    :	Any         =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)